Sovereign data intelligenceLuxembourg · Europe

See the consequences before they become obvious.
Build the intelligence to act while options remain.

Possible futures.
Present decisions.

Request a demonstration
Scroll to unfold Built around your operation.European perspective. Your control.
Intelligence shaped around your operations.01 / The platform approach
Why Counterfold
Our mission
Give European organisations the intelligence to make consequential decisions, with control over the systems they depend on.
Our vision
A Europe that turns its operational knowledge into lasting capability, with the freedom to choose how its intelligence is built and run.

See beyond
the expected.

A weak signal in one system can become a critical constraint in another. Connect the evidence, uncover dependencies and compare possible responses while you still have options.

Counterfold designs and builds sovereign data intelligence systems around your operation. From Luxembourg, we bring data engineering, operational modelling and AI into a shared foundation for decisions across Europe.

01. Understand what happened.

Operational systems, live events and documents hold different parts of the story. Bring them together, with their source and history intact.

02. See what is connected.

A delay affects an asset. That asset belongs to a rotation. The rotation depends on people and time. An ontology makes those relationships usable.

03. Explore what could happen.

Surface unusual changes, trace their possible consequences and compare responses. Bring evidence, domain models and human judgment together, with assumptions and uncertainty visible.

The anatomy of a decision
Individually, fragments.Together, intelligence.Scroll to connect the pieces
Human authority stays in the loop.Illustrative architecture · scoped for each project
The Counterfold platform family

The foundation. The context.
The intelligence.

Eridanos connects the evidence. Ariadne gives it operational meaning. Solon puts that context to work. One architecture, built around your decisions, systems and constraints.

01

Data sourcing & unification

Data your operation can work from. Connected, reconciled and traceable from source to decision.

Explore the approach
02

Operational ontology

Your business in context. Objects, dependencies and operational logic connected to the decisions people make.

Explore the approach
03

AI operations platform

AI inside your operating reality. Grounded analysis, controlled tools and accountable action.

Explore the approach

Custom delivery. Data access, scope and acceptance criteria agreed with your team.

01 / Data sourcing & unification

Many sources.
One foundation.

We connect operational systems, documents and signals into a dependable foundation. Reconcile competing records, expose missing information and preserve the evidence behind every decision.

  1. Connect the sources

    Systems, documents, events and approved external data.

  2. Make records agree

    Resolve identifiers, align times and flag quality issues.

  3. Keep the evidence

    Source history, freshness and ownership stay visible.

Illustrative workflow · sample dataNext / Operational ontology
02 / Operational ontology

The relationships
behind the reality.

We turn connected data into a working model of your business: objects, relationships, rules and actions. Trace how a change could spread and compare responses against the constraints that matter.

  1. Define the objects

    A supplier, a part, an order. Each has a shared definition.

  2. Reveal the dependencies

    Follow how one change affects the rest of the operation.

  3. Connect to action

    Attach business rules, evidence and permitted workflows.

Illustrative workflow · sample dataNext / AI operations platform
03 / AI operations platform

AI with context.
Action with control.

We build AI workflows grounded in your ontology. Combine authorised evidence, selected models and controlled tools to investigate exceptions, compare options and prepare actions people can inspect.

  1. Establish the scope

    Identity, purpose and permissions determine accessible context.

  2. Ground the analysis

    Objects, relationships, evidence and approved tools.

  3. Inspect the proposal

    Separate sourced facts, calculations and generated interpretation.

  4. Authorise the action

    Review, recheck authority, execute and record.

Illustrative workflow · sample dataExplore the control model
Solon / Security by design

Context is what AI understands.
Authority is what it may do.

An ontology gives AI a model of your business. It does not, by itself, enforce security. We design the controls around the data, models, tools and actions.

01 / DATA ACCESS

Scope what it can see.

Check identity, task purpose and permissions before retrieving context. Exclude or mask fields the workflow should not receive.

02 / MODEL BOUNDARIES

Decide where it thinks.

Choose the model and processing environment. Agree hosting location, provider access and retention for each deployment.

03 / TOOL AUTHORITY

Limit what it can do.

Give each workflow specific tools. Validate their inputs and check action permissions in the application, separately from the model's instructions.

04 / REVIEW & EVIDENCE

Keep people accountable.

Test representative and adversarial cases. Inspect proposed changes, route consequential actions for approval and record outcomes. Protect the access and retention of the evidence itself.

Decide who controls your intelligence

Your intelligence.
Your terms.

Sovereignty reaches beyond where a server sits. It includes who operates the system, who can access the data, which laws apply and whether you can change direction. We turn those questions into requirements before the first integration.

01

Control the environment.

Choose storage and processing locations, infrastructure operators and encryption-key responsibilities. Assess provider ownership, support access and legal jurisdiction for European, on-premises or defined hybrid deployments.

02

Bound the authority.

Scope what people, models and tools may see and do. Separate read access from action authority. Agree provider processing, retention and training terms, protect operational logs and require the approvals each workflow needs.

03

Preserve your options.

Define export formats, documentation, model dependencies and the conditions for changing providers. Agree ownership, operating responsibilities and an exit plan as part of delivery.

Why begin now

The cost of waiting is already in your workflow.

Manual reconciliation consumes time before a decision can even begin. Isolated AI pilots leave the wider operating picture disconnected. Each source connected, dependency understood and workflow tested gives the next use case a stronger starting point.

Europe’s Data Act already applies, with provisions on data access and cloud switching. Control and portability belong in today’s architecture decisions. Read the European Commission’s overview

Custom by design

Your operation
defines the system.

Your identifiers, processes, constraints and decisions become the blueprint. We connect the systems you already use and build around the people accountable for the outcome.

01 / THE DECISION

Start where value is clear.

Agree the question, its operational owner and the outcome that would make the work worthwhile. Establish success measures before choosing the technology.

02 / THE FOUNDATION

Build from the evidence.

Confirm data access and quality. Define the business objects, domain assumptions and operating constraints with the people who know them.

03 / THE WORKFLOW

Make it fit the operation.

Select integrations, models, interfaces and controls for the task. Test representative cases, failure conditions and permission boundaries with your team.

04 / THE NEXT QUESTION

Expand from what works.

Validate a focused first workflow, then extend the shared foundation. Agree release, support and operating responsibilities as its role grows.

What you can shape Sources and update cadence. Business definitions and models. Deployment and access. Operator interfaces and approvals. Evaluation, support and ownership.

Begin with the question

What could your data
make possible?

Start with a decision that matters now. Build a foundation for the questions your organisation has not yet asked.

Where could disruption spread next?

Connect a changing operating picture to the people who need to act.

Potential data

Schedules, rotations, maintenance events and operational reports, subject to access and agreed purpose.

From insight to action

Explore knock-on effects and response options. Operations specialists validate assumptions and approve interventions.

Illustrative opportunities. Data access, feasibility, validation and delivery scope are established together during discovery.

Request a demonstration

Bring a decision.
Explore what becomes possible.

Tell us where your teams need a clearer operating picture. We will shape a demonstration around the question, the relevant evidence and the decisions people need to make.

  1. 01

    From source to situation.

    See how scattered records become a connected operating picture.

  2. 02

    From change to consequence.

    Trace the dependencies and compare possible responses.

  3. 03

    From proposal to action.

    Explore what AI can access, which tools it can use and where human authority applies.

Start with a scenario and the systems involved. An initial conversation does not require confidential data.

Request preview. Delivery is not connected yet. You can prepare and copy a brief; nothing is sent.

Review the brief before taking the next step. Please describe the scenario without including confidential records.